MAVGAE: a multimodal framework for predicting asymmetric drug-drug interactions based on variational graph autoencoder

Drug-drug interactions refer to the phenomena wherein the potency, duration, or effectiveness of one or multiple drugs undergo alterations of varying degrees as a result of their concurrent or sequential usage. The accurate identification of potential drug interactions plays a pivotal role in mitiga...

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Vydané v:	Computer methods in biomechanics and biomedical engineering Ročník 28; číslo 7; s. 1098 - 1110
Hlavní autori:	Deng, Zengqian, Xu, Jie, Feng, Yinfei, Dong, Liangcheng, Zhang, Yuanyuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Taylor & Francis 19.05.2025
Predmet:	Algorithms Artificial intelligence asymmetric drug-drug interaction Autoencoder Drug Interactions multimodal variational autoencoder multimodal asymmetric drug-drug interaction Artificial intelligence variational autoencoder
ISSN:	1025-5842, 1476-8259, 1476-8259
On-line prístup:	Získať plný text
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